Individual skill
agent-hiring-panel
Hire an AI agent the way you'd hire an employee — a role spec with success criteria, a structured work-sample interview run on your real tasks, reference checks (what do actual users report), probation KPIs, and termination criteria written before day one. Use when choosing between AI agents/tools/copilots for a job, formalizing an AI pilot, or 'which agent should we use for X'. Produces the role spec, interview pack with scoring rubric, a decision record, and a probation plan.
skills/agent-hiring-panel/SKILL.md
Source commit f7c90bc09ee05dc25cf257bdb1826f2c2552c2cb
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 10, 2026
- License
- MIT
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SKILL.mdcore · 5,580 bytes
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# Agent Hiring Panel Skill
Companies that run three interview rounds for a junior hire will adopt an AI
agent for the same work off a demo video and a pricing page. Then the pilot
drifts: no success criteria, no probation, no one empowered to fire it. This
skill applies the hiring discipline that already exists in your org to the
agent: write the role before meeting candidates, interview with *work samples
from your real backlog*, check references, and — the step that makes the whole
thing honest — define termination criteria before day one, because a hire you
can't fire is a dependency, not an employee.
## What This Skill Produces
- A **role spec**: the job, the boundaries (what it must never do), success